Wasserstein distributional robustness of neural networks
Bai, X
Jiang, Y
He, G
Obłój, J
Advances in Neural Information Processing Systems
volume 36
(01 Jan 2023)
Tangent space and dimension estimation with the Wasserstein distance
Lim, U
Oberhauser, H
Nanda, V
SIAM Journal on Applied Algebra and Geometry
volume 8
issue 3
650-685
(23 Aug 2024)
Convergence and Implicit Regularization Properties of Gradient Descent for Deep Residual Networks.
Cont, R
Rossier, A
Xu, R
CoRR
volume abs/2204.07261
(2022)
Asymptotic analysis of deep residual networks
Cont, R
Rossier, A
Xu, R
arXiv
(15 Dec 2022)
Fast unfolding of communities in large networks: 15 years later
Blondel, V
Guillaume, J
Lambiotte, R
(10 Nov 2023)
Smooth integers and de Bruijn's approximation Ʌ
Gorodetsky, O
Proceedings of the Royal Society of Edinburgh Section A Mathematics
(2023)
How does over-squashing affect the power of GNNs?
Giovanni, F
Rusch, T
Bronstein, M
Deac, A
Lackenby, M
Mishra, S
Velickovic, P
Transactions of Machine Learning Research
volume abs/2306.03589
OFTER: An Online Pipeline for Time Series Forecasting.
Michael, N
Cucuringu, M
Howison, S
(2023)
Interactions of market making algorithms: a study on perceived collusion.
Xiong, W
Cont, R
ICAIF
32:1-32:1
(2021)
An analog of the Edwards model for Jacobians of genus 2 curves.
Flynn, E
Khuri-Makdisi, K
Research in Number Theory
volume abs/2211.01450